La evaluación de desempeño docente. La realidad de un liceo de Maldonado

Thesis Subjects > Teaching Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Cerrado Español Este trabajo de finalización de máster en el programa Organización y Gestión de Centros Educativos tiene como objetivo conocer y analizar la percepción que tienen los docentes y los directivos sobre la evaluación de desempeño docente en el liceo Florencio Collazo de Maldonado, Uruguay.Se seleccionaron aportes teóricos nacionales e internacionales enfocados en la importancia que ha cobrado el desempeño docente para mejorar la calidad educativa y la relevancia que adquiere la evaluación para cualificar ese desempeño y direccionarlo hacia la mejora de las prácticas educativas.El estudio presenta un enfoque cuantitativo-cualitativo y es de corte descriptivo. Participaron en él un total de 58 profesores y los dos integrantes del equipo directivo. Además de revisar las perspectivas de los profesores, la línea de investigación buscó conocer la visión de los integrantes del equipo de dirección a cargo de evaluar el desempeño docente. Posteriormente, se realizó una reflexión crítica y se extrajo algunas comparativas y consideraciones para contribuir, tanto a comprender el proceso actual de evaluación, así como a generar ideas para fortalecer el desarrollo profesional docente en el centro educativo. Los instrumentos aplicados fueron una guía de entrevista al director y subdirector y una encuesta a los docentes.Dentro de los resultados obtenidos, se puede mencionar que existen puntos en común en las percepciones de los distintos actores institucionales, de los que se destaca que la evaluación no contribuye a la formación continua del profesorado, es subjetiva, ambigua y no contempla el nuevo escenario de educación virtual. A partir de los hallazgos, podemos afirmar la necesidad de actualización del cuerpo docente en cuanto a evaluación y la implementación de un plan de acción por los miembros del equipo directivo, para el diseño colectivo de una evaluación de desempeño docente formativa que se ajuste a la realidad del centro y responda a las características actuales de los procesos de enseñanza-aprendizaje. metadata Pereyra Mauttones, Diana Mariela mail pereyradiana@hotmail.com (2022) La evaluación de desempeño docente. La realidad de un liceo de Maldonado. Masters thesis, UNSPECIFIED.

Full text not available from this repository.

Abstract

Este trabajo de finalización de máster en el programa Organización y Gestión de Centros Educativos tiene como objetivo conocer y analizar la percepción que tienen los docentes y los directivos sobre la evaluación de desempeño docente en el liceo Florencio Collazo de Maldonado, Uruguay.Se seleccionaron aportes teóricos nacionales e internacionales enfocados en la importancia que ha cobrado el desempeño docente para mejorar la calidad educativa y la relevancia que adquiere la evaluación para cualificar ese desempeño y direccionarlo hacia la mejora de las prácticas educativas.El estudio presenta un enfoque cuantitativo-cualitativo y es de corte descriptivo. Participaron en él un total de 58 profesores y los dos integrantes del equipo directivo. Además de revisar las perspectivas de los profesores, la línea de investigación buscó conocer la visión de los integrantes del equipo de dirección a cargo de evaluar el desempeño docente. Posteriormente, se realizó una reflexión crítica y se extrajo algunas comparativas y consideraciones para contribuir, tanto a comprender el proceso actual de evaluación, así como a generar ideas para fortalecer el desarrollo profesional docente en el centro educativo. Los instrumentos aplicados fueron una guía de entrevista al director y subdirector y una encuesta a los docentes.Dentro de los resultados obtenidos, se puede mencionar que existen puntos en común en las percepciones de los distintos actores institucionales, de los que se destaca que la evaluación no contribuye a la formación continua del profesorado, es subjetiva, ambigua y no contempla el nuevo escenario de educación virtual. A partir de los hallazgos, podemos afirmar la necesidad de actualización del cuerpo docente en cuanto a evaluación y la implementación de un plan de acción por los miembros del equipo directivo, para el diseño colectivo de una evaluación de desempeño docente formativa que se ajuste a la realidad del centro y responda a las características actuales de los procesos de enseñanza-aprendizaje.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Evaluación, evaluación formativa, desempeño docente
Subjects: Subjects > Teaching
Divisions: Europe University of Atlantic > Teaching > Final Master Projects
Ibero-american International University > Teaching > Final Master Projects
Date Deposited: 18 Apr 2024 23:30
Last Modified: 18 Apr 2024 23:30
URI: https://repositorio.uneatlantico.es/id/eprint/2864

Actions (login required)

View Item View Item

<a class="ep_document_link" href="/10290/1/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf"><img class="ep_doc_icon" alt="[img]" src="/10290/1.hassmallThumbnailVersion/Influence%20of%20E-learning%20training%20on%20the%20acquisition%20of%20competences%20in%20basketball%20coaches%20in%20Cantabria.pdf" border="0"/></a>

en

open

Influence of E-learning training on the acquisition of competences in basketball coaches in Cantabria

The main aim of this study was to analyse the influence of e-learning training on the acquisition of competences in basketball coaches in Cantabria. The current landscape of basketball coach training shows an increasing demand for innovative training models and emerging pedagogies, including e-learning-based methodologies. The study sample consisted of fifty students from these courses, all above 16 years of age (36 males, 14 females). Among them, 16% resided outside the autonomous community of Cantabria, 10% resided more than 50 km from the city of Santander, 36% between 10 and 50 km, 14% less than 10 km, and 24% resided within Santander city. Data were collected through a Google Forms survey distributed by the Cantabrian Basketball Federation to training course students. Participation was voluntary and anonymous. The survey, consisting of 56 questions, was validated by two sports and health doctors and two senior basketball coaches. The collected data were processed and analysed using Microsoft® Excel version 16.74, and the results were expressed in percentages. The analysis revealed that 24.60% of the students trained through the e-learning methodology considered themselves fully qualified as basketball coaches, contrasting with 10.98% of those trained via traditional face-to-face methodology. The results of the study provide insights into important characteristics that can be adjusted and improved within the investigated educational process. Moreover, the study concludes that e-learning training effectively qualifies basketball coaches in Cantabria.

Artículos y libros

Josep Alemany Iturriaga mail josep.alemany@uneatlantico.es, Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Javier Jorge mail , Kamil Giglio mail ,

Alemany Iturriaga

en

close

Do ICT firms manage R&D differently? Firm-level and macroeconomic effects on corporate R&D investment: Empirical evidence from a multi-countries context

Technological firms invest in R&D looking for innovative solutions but assuming high costs and great (technological) uncertainty regarding final results and returns. Additionally, they face other problems related to R&D management. This empirical study tries to determine which of the factors favour or constrain the decision of these firms to engage in R&D. The analysis uses financial data of 14,619 ICT listed companies of 22 countries from 2003 to 2018. Additionally, macroeconomic data specific for the countries and the sector were used. For the analysis of dynamic panel data, a System-GMM method is used. Among the findings, we highlight that cash flow, contrary to the known theoretical models and empirical evidences, negatively impacts on R&D investment. Debt is neither the right source for R&D funding, as the effect is also negative. This suggests that ICT companies are forced to manage their R&D activities differently, relying more on other funding sources, taking advantage of growth opportunities and benefiting from a favourable macroeconomic environment in terms of growth and increased business sector spending on R&D. These results are similar in both sub-sectors and in all countries, both bank- and market based. The exception is firms with few growth opportunities and little debt.

Artículos y libros

Inna Alexeeva-Alexeev mail inna.alexeeva@uneatlantico.es, Cristina Mazas Pérez-Oleag mail cristina.mazas@uneatlantico.es,

Alexeeva-Alexeev

en

open

Assessment Of Lower Limb Asymmetries In Soccer Players According To The Stage Of The Season

PURPOSE: Muscle asymmetries can be associated with increased risk of injury. Using countermovement jump (CMJ) to analyze muscular asymmetries in the lower limbs of soccer players, according to the stage of the season.

Artículos y libros

Álvaro Velarde-Sotres mail alvaro.velarde@uneatlantico.es, Jeffrey Mjaanes mail , Angel Olider Rojas Vistorte mail , Julio Calleja-González mail ,

Velarde-Sotres

<a href="/14584/1/s41598-024-73664-6.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/14584/1.hassmallThumbnailVersion/s41598-024-73664-6.pdf" border="0"/></a>

en

open

Performance of the 4C and SEIMC scoring systems in predicting mortality from onset to current COVID-19 pandemic in emergency departments

The evolution of the COVID-19 pandemic has been associated with variations in clinical presentation and severity. Similarly, prediction scores may suffer changes in their diagnostic accuracy. The aim of this study was to test the 30-day mortality predictive validity of the 4C and SEIMC scores during the sixth wave of the pandemic and to compare them with those of validation studies. This was a longitudinal retrospective observational study. COVID-19 patients who were admitted to the Emergency Department of a Spanish hospital from December 15, 2021, to January 31, 2022, were selected. A side-by-side comparison with the pivotal validation studies was subsequently performed. The main measures were 30-day mortality and the 4C and SEIMC scores. A total of 27,614 patients were considered in the study, including 22,361 from the 4C, 4,627 from the SEIMC and 626 from our hospital. The 30-day mortality rate was significantly lower than that reported in the validation studies. The AUCs were 0.931 (95% CI: 0.90–0.95) for 4C and 0.903 (95% CI: 086–0.93) for SEIMC, which were significantly greater than those obtained in the first wave. Despite the changes that have occurred during the coronavirus disease 2019 (COVID-19) pandemic, with a reduction in lethality, scorecard systems are currently still useful tools for detecting patients with poor disease risk, with better prognostic capacity.

Artículos y libros

Pedro Ángel de Santos Castro mail , Carlos del Pozo Vegas mail , Leyre Teresa Pinilla Arribas mail , Daniel Zalama Sánchez mail , Ancor Sanz-García mail , Tony Giancarlo Vásquez del Águila mail , Pablo González Izquierdo mail , Sara de Santos Sánchez mail , Cristina Mazas Pérez-Oleaga mail cristina.mazas@uneatlantico.es, Irma Dominguez Azpíroz mail irma.dominguez@unini.edu.mx, Iñaki Elío Pascual mail inaki.elio@uneatlantico.es, Francisco Martín-Rodríguez mail ,

de Santos Castro

<a href="/14915/1/s41598-024-74357-w.pdf" class="ep_document_link"><img class="ep_doc_icon" alt="[img]" src="/14915/1.hassmallThumbnailVersion/s41598-024-74357-w.pdf" border="0"/></a>

en

open

Enhanced detection of diabetes mellitus using novel ensemble feature engineering approach and machine learning model

Diabetes is a persistent health condition led by insufficient use or inappropriate use of insulin in the body. If left undetected, it can lead to further complications involving organ damage such as heart, lungs, and eyes. Timely detection of diabetes helps obtain the right medication, diet, and exercise plan to lead a healthy life. ML approach has been utilized to obtain rapid and reliable diabetes detection, however, existing approaches suffer from the use of limited datasets, lack of generalizability, and lower accuracy. This study proposes a novel feature extraction approach to overcome these limitations by using an ensemble of convolutional neural network (CNN) and long short-term memory (LSTM) models. Multiple datasets are combined to make a larger dataset for experiments and multiple features are utilized for investigating the efficacy of the proposed approach. Features from the extra tree classifier, CNN, and LSTM are also considered for comparison. Experimental results reveal the superb performance of CNN-LSTM-based features with random forest model obtaining a 0.99 accuracy score. This performance is further validated by comparison with existing approaches and k-fold cross-validation which shows the proposed approach provides robust results.

Artículos y libros

Furqan Rustam mail , Ahmad Sami Al-Shamayleh mail , Rahman Shafique mail , Silvia Aparicio Obregón mail silvia.aparicio@uneatlantico.es, Rubén Calderón Iglesias mail ruben.calderon@uneatlantico.es, J. Pablo Miramontes Gonzalez mail , Imran Ashraf mail ,

Rustam